Zijian Feng
Biographic Data
| ID | 7891312 |
|---|---|
| NAME | Zijian Feng |
| GIVEN NAMES | Zijian |
| FAMILY NAME | Feng |
| SIGNATURE | FENG Z |
| AFFILIATIONS | Chinese Center For Disease Control and Prevention |
| ORCID | 0009-0000-7317-2995 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Influenza vaccine protection and contact patterns among outpatients with influenza-like illness during the 2024–2025 season in China
Background: Continuous monitoring of both influenza vaccine protection and behavioural determinants of infection is important for understanding related risks. Evidence on influenza vaccine effectiveness (VE) in China during the 2024-2025 season, however, remains limited. We aimed to assess influenza VE among healthcare-seeking outpatients with influenza-like illness (ILI) and to examine the contact patterns associated with infection risk. Methods…
Comparison of simulation and predictive efficacy for hemorrhagic fever with renal syndrome incidence in mainland China based on five time series models
Background: Hemorrhagic fever with renal syndrome (HFRS) is a zoonotic infectious disease commonly found in Asia and Europe, characterized by fever, hemorrhage, shock, and renal failure. China is the most severely affected region, necessitating an analysis of the temporal incidence patterns in the country. Methods: We employed Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), Nonl…
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
BACKGROUND: The initial cases of novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. METHODS: We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by…
Japanese Encephalitis Risk and Contextual Risk Factors in Southwest China
It is valuable to study the spatiotemporal pattern of Japanese encephalitis (JE) and its association with the contextual risk factors in southwest China, which is the most endemic area in China. Using data from 2004 to 2009, we applied GISmapping and spatial autocorrelation analysis to analyze reported incidence data of JE in 438 counties in southwest China, finding that JE cases were not randomly distributed, and a Bayesian hierarchical spatiote…
Detecting and controlling foodborne infections in humans
In the past 50 years, the United States has made major advances in human health surveillance, research and outbreak investigation that have helped reduce microbial contamination of food. In China, food safety has emerged as one of the country's most prominent domestic concerns, but there has been limited investment in surveillance, inter-agency coordination, outbreak investigation and data synthesis. After large outbreaks of Salmonella in the 196…
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Detecting and controlling foodborne infections in humans
In the past 50 years, the United States has made major advances in human health surveillance, research and outbreak investigation that have helped reduce microbial contamination of food. In China, food safety has emerged as one of the country's most prominent domestic concerns, but there has been limited investment in surveillance, inter-agency coordination, outbreak investigation and data synthesis. After large outbreaks of Salmonella in the 196…
Japanese Encephalitis Risk and Contextual Risk Factors in Southwest China
It is valuable to study the spatiotemporal pattern of Japanese encephalitis (JE) and its association with the contextual risk factors in southwest China, which is the most endemic area in China. Using data from 2004 to 2009, we applied GISmapping and spatial autocorrelation analysis to analyze reported incidence data of JE in 438 counties in southwest China, finding that JE cases were not randomly distributed, and a Bayesian hierarchical spatiote…
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
BACKGROUND: The initial cases of novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. METHODS: We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by…
Comparison of simulation and predictive efficacy for hemorrhagic fever with renal syndrome incidence in mainland China based on five time series models
Background: Hemorrhagic fever with renal syndrome (HFRS) is a zoonotic infectious disease commonly found in Asia and Europe, characterized by fever, hemorrhage, shock, and renal failure. China is the most severely affected region, necessitating an analysis of the temporal incidence patterns in the country. Methods: We employed Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), Nonl…
Influenza vaccine protection and contact patterns among outpatients with influenza-like illness during the 2024–2025 season in China
Background: Continuous monitoring of both influenza vaccine protection and behavioural determinants of infection is important for understanding related risks. Evidence on influenza vaccine effectiveness (VE) in China during the 2024-2025 season, however, remains limited. We aimed to assess influenza VE among healthcare-seeking outpatients with influenza-like illness (ILI) and to examine the contact patterns associated with infection risk. Methods…
Computer Science (4 works) · China (3 works) · Geography (3 works) · Mathematics (2 works) · Medicine (2 works) · Outbreak (2 works) · Statistics (2 works) · Viral Infections and Vectors (2 works) · 2019-20 coronavirus outbreak (1 work) · 2024-2025 influenza season (1 work)